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CRISP - DM Process in Smart Building Management 11

CRISP - DM Process in Smart Building Management

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11th international conference on Electrical and Electronics Engineering, ICEEE 2024

作者： Dursun, Mahir Sabyrzhan, Moldir Gazi University Faculty of Technology Dept. of Electrical and Electronics Engineering Ankara Turkey Graduate School of Informatics Gazi University Department of Computer Science Ankara Turkey

ISBN: (纸本)9798350362541

Smart Buildings are buildings that integrate and combine intelligence, management, control, materials, and construction as a single system to meet all the needs of the building, such as comfort, energy efficiency, and durability. In universities, laboratories are used less frequently than other facilities and classrooms. Courses and students may change in the same classroom, and the period of use of such classrooms is much more extended than in laboratories. However, classrooms may only be used for classes during long breaks or for short periods of non-use between exams. In addition, there is no provision for when the heating system will start to heat up before classes or when it will be turned off after classes. By planning heating and lightning, energy and costs will be saved. this paper presents data acquisition methods for preparing a dataset to create a machine learning (ML) model to save energy loss in university laboratories. the developed model will predict energy consumption in classrooms and laboratories based on weather conditions. the study is being conducted in two stages. the first stage describes how to collect data using electronic devices such as Internet of things (IoT) controllers of Smart Building Management systems. the second stage gave possibilities for data analysis and preparation using the phases of the Cross-Industry Standard Process for Data Mining (CRISP-DM). © 2024 IEEE.

关键词： Information management

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SelfBOT: An Automated Wheel-Chair control Using Facial Gestures only 26

SelfBOT: An Automated Wheel-Chair Control Using Facial Gestu...

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26th international conference on computer and Information Technology, ICCIT 2023

作者： Ritu, Khandaker Jannatul Ahammad, Khalil Mohibullah, Md Khatun, Mahmuda Uddin, Md Zasim Uddin, Md Kamal Kobayashi, Yoshinori Hasan, Mahmudul Comilla University Department of CSE Cumilla Bangladesh Begum Rokeya University Dept. of CSE Rangpur Bangladesh Noakhali Science and Technology University Dept. of CSTE Bangladesh Saitama University Interactive Systems Lab. Japan

ISBN: (纸本)9798350359015

Facial gestures serve as a promising means of non-verbal communication, as effectively demonstrated in applications like cursor movement, eye tracking, and eye interaction. Our study introduces a novel facial-interaction-based wheelchair system designed to enhance the mobility and independence of physically disabled individuals who rely on assistance for navigation. As a proof-of-concept, this application detects facial, nose, and eye movements to monitor user actions and execute corresponding operations. A novel algorithm accurately detects facial movements up, down, left, right, blinks, and eye flickers, enabling users to control the wheelchair's movement in any direction, including clockwise and counterclockwise. Real-time feedback indicates whether facial gestures successfully control wheelchair movement. Our system maintains accurate gesture recognition under varying environmental conditions and provides smooth, intuitive cursor control, a user-friendly interface, and a cost-effective, energy-efficient implementation that sets our system superior apart from existing solutions. It achieves a detection accuracy of approximately 96% in well-lit environments, surpassing existing systems. While accuracy drops slightly to 83% in dark environments, it still exceeds existing capabilities. this system empowers physically disabled individuals, enabling those with quadriplegia, amyotrophic lateral sclerosis(ALS), cerebral palsy, or spinal cord injuries to control their wheelchairs using facial gestures characterized by its unique ability to move in any direction as opposed to just four or eight directions. © 2023 IEEE.

关键词： Eye control Facial gestures gaze-controlled wheelchair movements physical disabilities wheelchair

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Research on the external structure and control system design of biomimetic robots 6

Research on the external structure and control system design...

引用

2023 IEEE 6th international conference on Information systems and computer Aided Education, ICISCAE 2023

作者： Sheng, Xishun Wang, Jihong Du, Xinyu Ludong University Yantai China Beijing University of Technology Beijing China Guangdong University of Technology Guangzhou China

ISBN: (纸本)9798350313444

With the continuous development of science and technology, underwater robots as a new robot technology are gradually receiving attention. In order to increase the application range of underwater robots, this paper designs a dolphin robot. through a comprehensive analysis of the integration of structure, airfoil, and control system, conceptual design references can be provided for newly configured underwater energy capture equipment. In terms of structural design, the energy harvesting device designed in this article draws inspiration from the shape of dolphins, using six fan blades on the head as the main energy harvesting device, and adopting a streamlined structure to minimize the resistance of the device when working underwater. In terms of airfoil analysis, this article adopts the NACA0012 airfoil at the tail rudder, and obtains the best driving performance by integrating velocity cloud maps, static pressure, and cCd curves. In the design and integration of the control system, a PID controller is used, and the underwater main controller is composed of an STM32 microcontroller. It transmits information for STM32 underwater main controller through attitude sensor, depth sensor and temperature sensor, and then realizes overall control of equipment attitude, height, progress and obstacle avoidance, fluid dynamics analysis, PID control and actuator design through PWM driving motor and lamp. It also puts forward new ideas for the future design and development process in terms of robot Motion planning, trajectory tracking and stability control. © 2023 IEEE.

关键词： airfoil biomimetic robot energy PID STM32

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On the design and implementation of an on-board test bed system for V2V road hazard signaling 17

On the design and implementation of an on-board test bed sys...

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17th international conference on Future Networks and Communications / 19th international conference on Mobile systems and Pervasive Computing / 12th international conference on Sustainable Energy Information Technology, FNC/MobiSPC/SEIT 2022

作者： Outay, Fatma Kamoun, Faouzi Chemek, Anouar Bargaoui, Hichem Yasar, Ansar Zayed University P.O. Box 19282 Dubai United Arab Emirates ESPRIT School of Engineering PO. Box 160 ZI. Chotrana II Tunis Tunisia ESPRIT School of Business PO. Box 160 ZI. Chotrana II Tunis Tunisia Hasselt University Wetenschapspark 5 bus 6 P.O. Box 3590 Diepenbeek Belgium

this paper describes the design, implementation, and testing of an ITS-G5 prototype Road hazard Signaling (RHS) system that is inspired by the concept of crowdsourcing. Our approach enables drivers to interact with a touchscreen onboard interface to send ITS-G5 decentralized environmental notification messages (DENM) in order to warn nearby vehicles against the presence of a hazardous situation. these messages are analyzed, filtered for relevance, and presented to concerned drivers via the Onboard Units (OBUs) so that precautionary measures can be taken. We describe the design and implementation aspects of the proposed system and update the open source cargeo6 implementation of the ITS GeoNetworking protocol stack. We successfully implemented and validated the prototype system using an indoor testbed and carried various performance analysis experiments. © 2022 the Authors. Published by Elsevier B.V. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the conference Program Chairs.

关键词： Intelligent systems

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A Concept Drift Tolerant Abnormal Detection Method for Network Traffic 15

A Concept Drift Tolerant Abnormal Detection Method for Netwo...

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15th international conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023

作者： Wang, Xu Han, Li Sun, Shimin Xu, Guowei Tianjin University of Technology National Engineering Laboratory for Computer Virus Prevention and Control Technology School of Computer Science and Engineering Tianjin China Tiangong University School of Software Tianjin China

ISBN: (纸本)9798350308693

we propose a cutting-edge solution that leverages passive adaptive methods based on ensemble learning to effectively detect anomalous traffic in data streams. Our approach tackles the issue of concept drift by integrating various deep learning models, each offering a unique perspective to learn data features. By doing so, our solution can accurately capture the distribution of data concepts and propose weight layers to make the model adaptable to changes caused by concept drift. In a series of experiments conducted on public datasets, our model demonstrated remarkable effectiveness in detecting anomalies, achieving accuracy rates of over 97% after adapting to concept drift. © 2023 IEEE.

关键词： Learning systems

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Study of Track Segmentation for Lap Time Optimization 10

Study of Track Segmentation for Lap Time Optimization

引用

10th international conference on Vehicle Technology and Intelligent Transport systems, VEHITS 2024

作者： Klapálek, Jaroslav Benedikt, Ondřej Sojka, Michal Hanzálek, Zděnek Faculty of Electrical Engineering Czech Technical University in Prague Technicḱa 2 Prague166 27 Czech Republic Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Jugosĺavsḱych partyźanu° 3 Prague160 00 Czech Republic

ISBN: (纸本)9789897587030

Lap time minimization is of interest in every automotive racing competition. However, finding an optimal racing line is not a trivial task. In this work, we study one particular part of the racing line optimization problem, namely the track segmentation problem. We analyze how different track segmentation methods influence the racing line quality. Further, we present Automated Segmentation based on Curvature (ASC) method, which creates segments adaptively according to the track layout. Using lap time estimation based on a vehicle model, we compare ASC with two other methods from the literature. the preliminary results show that optimization based on ASC is able to outperform the other tested approaches by up to 15% for the given number of iterations while converging to a good solution 3.88 times faster than the second-best method. Copyright © 2024 by SCITEPRESS - science and Technology Publications, Lda.

关键词： computer vision

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Adaptive control for A Class of Nonholonomic Vehicle systems 4

Adaptive Control for A Class of Nonholonomic Vehicle Systems

引用

4th international conference on Industrial Artificial Intelligence, IAI 2022

作者： Ren, Tianqun Chen, Xiang Southwest Jiaotong University School of Information Science and Technology Sichuan Chengdu610031 China University of Windsor Department of Electrical and Computer Engineering ON WindsorN9B 3P4 Canada

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

this paper studies control for a class of vehicle systems. Different from the majority of the existing work, two adaptive control laws are proposed to tackle the feedback stability of the nonlinear vehicle dynamics under both position and velocity controls. the results of the paper show that the proposed adaptive control laws are capable of dealing with the nonlinear dynamics in the presence of unknown vehicle parameters in achieving the velocity and position control. In combination with the classic proportional and derivative control, the proposed adaptive control method mitigates parameter uncertainties and model nonlinearities. the control performance of the vehicle systems is illustrated by simulation studies. © 2022 IEEE.

关键词： Position control

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A Novel Fixed-time Observer-based Sliding Mode controller for Nonlinear Underactuated Hovercraft 5

A Novel Fixed-time Observer-based Sliding Mode Controller fo...

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5th international conference on theoretical and Applied computer science and Engineering (ICTASCE)

作者： Abadi, Ali Soltani Sharif Hameed, Ayesha Ordys, Andrew Kukielka, Krzysztof Hosseinabadi, Pooyan Alinaghi Pierscionek, Barbara Warsaw Univ Technol Fac Mechatron Inst Automat Control & Robot Warsaw Poland Univ New South Wales Technol Sch Engn & Informat Canberra ACT Australia Anglia Ruskin Univ Fac Hlth Educ Med & Social Care Med Technol Res Ctr East Anglia England

ISBN: (纸本)9798350331622

Using information from the state observer to the controller in real-time is an open field for research and fundamental for solving many problems in control theory. control of underactuated systems is challenging since the degree of freedom (DOF) of these systems is more than their control inputs. In this paper, a fixed-time sliding mode controller for nonlinear underactuated hovercraft systems and a fixed-time sliding mode observer are described. the estimated states of the observer are used in the controller in real-time. the controller and observer work together to track the hovercraft's desired trajectory and estimate the states of the hovercraft. the observer and controller are chattering-free, fast-tracking, and smooth controlling. the Lyapunov theory is used to prove the controller's stability and the observer. the performance of the algorithm is demonstrated in a simulation example.

关键词： SMC Hovercraft Fixed-time Observer-based

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Machine Learning Based Time Series Analysis for COVID-19 Cases in India 8

Machine Learning Based Time Series Analysis for COVID-19 Cas...

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8th international conference on Advanced Computing and Communication systems, ICACCS 2022

作者： Sagaya Aurelia, P. Aruna S, K. Rekha, V. Department of Computer Science Karnataka Bangalore India Department of Cse Karnataka Bangalore India

ISBN: (纸本)9781665408165

the World Health Organization declared the Coronavirus Infection, or COVID-19, to be widespread. One of the most appropriate methodologies for COVID-19 is time series analysis. the most appropriate technique for COVID-19 is time series analysis. It can be applied to Recognizing Information Patterns and Predicting Insights. the paper summarises the components of time series using the COVID-19 dataset for India as an example of one of the most important methodologies in predictive analytics. Time series models are chosen because they can predict future outcomes, comprehend prior outcomes, provide strategy recommendations, and much more. these common goalrists of temporal arrangement modelling do not differ significantly from those of cross-sectional or board data modelling. Machine Learning may be a well-known fact that it is an excellent technique for imagining, discourse, and standard dialect management for a large clarified accessible dataset. the results for confirmed, recovered, and death cases are presented in this study. © 2022 IEEE.

关键词： COVID-19

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Mitigating Voltage Sag in Power systems with Proportional Integral control using Tangent Search Algorithm and Multi-Fidelity Bayesian Neural Network 8

Mitigating Voltage Sag in Power Systems with Proportional In...

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8th international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Meena, Radhey Shyam Singh, Harsimran Vasudevan, K. Ekambaram, Saranya Katiyar, Atul Kaliappan, S. Indian Institute of Technology Industry Coordinator Odl Uttar Pradesh Kanpur208016 India Guru Kashi University Department of Electrical Engineering Punjab Bathinda151302 India Parul University Department of Electrical Engineering Gujarat Vadodara391760 India Sri Eshwar College of Engineering Department of Computer Science and Business Systems Tamil Nadu Coimbatore641202 India Mjp Rohilkhand University Bareilly Faculty of Engineering and Technology Department of Electrical Engineering Uttar Pradesh 243006 India Lovely Professional University Division of Research and Development Delhi Jalandhar144411 India

ISBN: (纸本)9798350376425

Mitigation strategies for voltage sag in power systems using dynamic voltage restorers (DVRs) involve compensating for voltage dips by injecting the required voltage to maintain stability. However, DVRs present problems such as high initial costs in installation and subsequent costs in maintenance and replacement;it only corrects voltage sag within its capability to handle severe or long periods of voltage sags. Moreover, DVRs may need complex control algorithms and most accurate tuning for optimal performance under various grid conditions. To overcome these drawbacks, this manuscript proposes a hybrid approach for voltage sag mitigation in power systems with Proportional Integral (PI) controller. the proposed method is the combined execution of both Tangent Search Algorithm (TSA) and Multi-fidelity Bayesian Neural Network (MFBNN). Hence, it is named as hybrid TSA-MFBNN approach. the major aim is to minimize the impact of voltage sags on sensitive equipment and maintain consistent power quality across the network and reduce the integral squared error (ISE) and Total Harmonic Distortion (thD) of the system. the PI controller's gain parameters are optimized by the proposed TSA, and its optimum values are predicted by the MFBNN. By then, the proposed technique is executed in MATLAB and compared with different existing approaches. the proposed method outperforms all existing approaches such as Artificial Neural Network (ANN), Salp Swarm Algorithm (SSA), and Adaptive-Network Fuzzy Inference System (ANFIS). the proposed technique demonstrates a thD of 2.38% and an ISE of 0.00410, indicating superior performance in reducing harmonic distortions and minimizing error. © 2024 IEEE.

关键词： Harmonic distortion

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